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UK: PhD Studentship in Mathematical Modelling and Artificial Intelligence, University of the West of England

This interdisciplinary PhD programme will be grounded in the fields of mathematical modelling and Artificial Intelligence. It is funded via the EPSRC’s Mathematical CASE programme, and has been designed to provide the research student with substantial modelling and algorithmic knowledge in the areas of mathematical programming, combinatorial optimisation, evolutionary algorithms, and statistical analysis. They will also gain valuable experience and skills from working in two large organisations with different cultures.

In today’s “Knowledge Economy”, many organisations hold large amounts of data gathered from a variety of sources, some of which they wish to publish, sell, or otherwise exploit and disseminate, whilst respecting the privacy of individual sources. One such example is the UK’s Office of National Statistics (ONS), which often needs to protect the confidentiality of “sensitive” data in published tables, achieving this via a number of approaches collectively known as Statistical Disclosure Control (SDC). The sheer size of the tables means that existing methods are no longer possible to use, and so there is a need for novel approaches to this
problem based on Artificial Intelligence (AI).

This project concerns the development of new mathematical models of how accurately a malicious “attacker” can estimate the value of data in sensitive cells in a table. Building on this the project will then develop AI techniques for SDC based on simulated evolution which can
be used to create tables in which confidentiality is protected. The project will build on an existing collaboration between UWE and ONS which has generated experience in this area, and substantial research expertise in Mathematical Modelling (Dr Clark at UWE) and Evolutionary Computation (Dr Smith at UWE).

This project will be undertaken within the Artificial Intelligence group at UWE (www.cems.uwe.ac.uk/aig) in collaboration with the UK Office of National Statistics. The student will spend time both at UWE’s Frenchay campus in Bristol, and ONS, primarily in their Newport offices. The Artificial Intelligence group is a lively interdisciplinary group with close links to other research groups both in the Faculty, regionally, and internationally, and the student will also benefit from the support and activities of the Faculty’s Graduate School.

The three and a half-year studentship covers tuition fees and provides a maintenance stipend of £14,600 per year.

Eligibility
We are looking for a highly motivated candidate with a good honours degree (minimum 2.i) or Masters in Electronic Engineering, Computer Science, Operational Research, Mathematics or a related discipline, have good analytical and programming skills and a strong interest in mathematical programming modelling and artificial intelligence. Previous experience of mathematical modelling tools such as AMPL, optimisation solvers such as Cplex, and of programming in C/C++ would be an advantage. The candidate must also have a positive attitude toward interdisciplinary research and teamwork. A recognised English language qualification (minimum IELTS 6.5, TOEFL 600) is required if English is not the candidate’s first language. For informal enquiries please contact Dr Jim Smith, preferably by email: james.smith@uwe.ac.uk.

How to apply
For application forms, please contact the Graduate School Office, Faculty of Computing Engineering and Mathematical Sciences via email cemsgraduateschool@uwe.ac.uk or
telephone (+44) 0117 32 83149.

Closing Date for applications is 8 July 2007.
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